Icu Medical (ICUI) Capital Expenditures (2009 - 2026)
Icu Medical's Capital Expenditures came in at $18.51 million for Q2 2026, down 6.0% from $19.7 million a year earlier but up 63.8% from the prior quarter.
Icu Medical (ICUI) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Icu Medical reported Capital Expenditures of $83.54 million, up 6.7% year-over-year; for FY2025, it came in at $88.04 million, up 10.9% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $79.37 million in FY2024 (-5.4%), $83.89 million in FY2023 (-7.1%), $90.31 million in FY2022 (+31.8%) and $68.54 million in FY2021 (-25.5%).
- The five-year range for quarterly Capital Expenditures is $11.3 million (Q1 2026) to $29.94 million (Q4 2023).
- Year-over-year, Capital Expenditures increased in three of the last eight quarters, with an average decline of 1.8%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2022 (growth of 68.3%), and the weakest in Q1 2023 (a decline of 39.8%).
- Business Quant data shows ICUI's Capital Expenditures at $11.3 million (Q1 2026), $24.65 million (Q4 2025) and $29.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Icu Medical | 4.02 Bn | 2.83 Bn | 235.05 Mn | 18.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.51 Mn |
| Mar 31, 2026 | 11.30 Mn |
| Dec 31, 2025 | 24.65 Mn |
| Sep 30, 2025 | 29.08 Mn |
| Jun 30, 2025 | 19.70 Mn |
| Mar 31, 2025 | 14.62 Mn |
| Dec 31, 2024 | 24.08 Mn |
| Sep 30, 2024 | 19.91 Mn |
| Jun 30, 2024 | 19.47 Mn |
| Mar 31, 2024 | 15.92 Mn |
| Dec 31, 2023 | 29.94 Mn |
| Sep 30, 2023 | 21.47 Mn |
| Jun 30, 2023 | 18.28 Mn |
| Mar 31, 2023 | 14.21 Mn |
| Dec 31, 2022 | 21.60 Mn |
| Sep 30, 2022 | 20.68 Mn |
| Jun 30, 2022 | 24.43 Mn |
| Mar 31, 2022 | 23.61 Mn |
| Dec 31, 2021 | 22.08 Mn |
| Sep 30, 2021 | 16.77 Mn |
Icu Medical Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ICUI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ICUI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ICUI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();